4.0 - 6.0 years

17 - 25 Lacs

Bengaluru

Work from Office

Role & responsibilities What youll be working on Collaborate cross-functionally with various teams to analyze user behavior and usage patterns, extracting actionable insights to enhance customer experience. Utilize advanced statistical techniques, NLP, and ML algorithms to identify opportunities for business problem-solving, leveraging scientific methodologies. Develop and refine predictive models based on historical user data, with a focus on feature engineering and improving machine learning algorithms for production. Design and execute controlled experiments to evaluate the potential impact of new approaches, contributing to data-driven decision-making processes. Provide detailed analysis and reporting on current trends and performance metrics, using NLP techniques for text data and identifying opportunities for improvement. Translate complex data findings into actionable insights for leadership, leveraging NLP outputs and ML algorithms for advanced analytics. Take ownership of end-to-end solution delivery, from problem statement formulation to product implementation, collaborating with other teams as needed. Contribute to the development of solutions and products supporting FedEx's GenAI services, specifically tailored for the Customer Experience vertical. What we are looking for Bachelor’s degree in computer science, Statistics, Mathematics, or a related field. Advanced degree preferred. Minimum of 5 years of experience in data science, with a focus on customer analytics, NLP, and machine learning. Proficiency in statistical analysis, predictive modeling, NLP techniques, and feature engineering. Any experience with development of GenAI solutions is preferred. Strong programming skills in languages such as Python, with experience in data manipulation and analysis libraries. Demonstrated experience in designing and executing controlled experiments to drive business insights. Excellent communication skills, with the ability to translate complex technical concepts into actionable insights for non-technical stakeholders. Proven track record of delivering end-to-end solutions in a fast-paced, dynamic environment. Experience working with large-scale datasets and distributed computing frameworks is a plus.

Posted 2 weeks ago

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